ENERGY PREDICTION BASED ON MODELLING AND SIMULATION ANALYSIS OF AN ACTUAL GRID-CONNECTED PHOTOVOLTAIC POWER PLANT IN TURKEY

Year 2019, Volume: 9 Issue: 2, 159 - 174, 30.12.2019

Osman Çiçek , Mohamed Alageli M. Mıllad Faruk Erken

https://doi.org/10.36222/ejt.593250

Cited By: 4

Abstract

Turkey has
invested in generating solar power industry to meet the energy demand as well
as saving the national energy resources. The government has also substituted
some of the energy consumption with clean energy sources, especially on-grid PV
power plants. In recent years, a number of incentives are provided to persuade
investors to invest in solar energy sector in Turkey. In this context,
KRMN-SNAPS 1.6 MW PV power plant is installed in Konya Province in the Central
Anatolia region of Turkey. The most important information that have to be known
in advance are the cost and duration of the investment. Therefore, pre-investment
production analysis of the PV power plant is very essential. The performance of
the power plant depends on some parameters for instance temperature, irradiance
and sunshine duration. In this study, solar PV arrays are modelled and the
power plant is simulated based on the above mentioned meteorological
parameters. The simulation results of the PV power plant were compared with the
actual production data. In the simulation, long-term average data on production
of the location were used and it is observed that the simulation results and
the one year's actual production data are compatible with each other.

Keywords

Renewable energy, PV systems, on-grid PV power plants, energy prediction, energy policy

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